Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders

4 November 2020

Papers citing "Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders"

7 / 7 papers shown

Title
polyGen: A Learning Framework for Atomic-level Polymer Structure Generation Ayush Jain Rampi Ramprasad 53 0 0 24 Apr 2025
polyBERT: A chemical language model to enable fully machine-driven ultrafast polymer informatics Christopher Kuenneth R. Ramprasad 39 101 0 29 Sep 2022
TransPolymer: a Transformer-based language model for polymer property predictions Changwen Xu Yuyang Wang A. Farimani 27 86 0 03 Sep 2022
Inverse design of two-dimensional materials with invertible neural networks Victor Fung Jiaxin Zhang Guoxiang Hu P. Ganesh B. Sumpter 30 41 0 06 Jun 2021
Copolymer Informatics with Multi-Task Deep Neural Networks Christopher Kuenneth W. Schertzer R. Ramprasad 17 46 0 25 Mar 2021
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 215 887 0 07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 242 1,340 0 12 Feb 2018